/*
 * Javlov - a Java toolkit for reinforcement learning with multi-agent support.
 * 
 * Copyright (c) 2009 Matthijs Snel
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */
package net.javlov;

/**
 * Agent that just returns actions according to its policy, no learning.
 * 
 * @author Matthijs Snel
 *
 */
public class SimpleAgent implements Agent {

	protected Policy policy;
	
	@Override
	public <T> Action doStep( State<T> s, double reward ) {
		//System.out.println(s);
		return policy.getAction(s);
	}

	@Override
	public <T> Action firstStep( State<T> s ) {
		return policy.getAction(s);
	}
	
	@Override
	public void init() {}
	
	@Override
	public void reset() {}
	
	public Policy getPolicy() {
		return policy;
	}

	public void setPolicy(Policy p) {
		policy = p;
	}

}

